The Application of Human Factors Engineering to Reduce Operating Room Turnover in Robotic Surgery.

BACKGROUND: Challenges associated with turnover time are magnified in robotic surgery. The introduction of advanced technology increases the complexity of an already intricate perioperative environment. We applied a human factors approach to develop systematic, data-driven interventions to reduce robotic surgery turnover time. METHODS: Researchers observed 40 robotic surgery turnovers at a tertiary hospital [20 pre-intervention (Jan 2018 to Apr 2018), 20 post-intervention (Jan 2019 to Jun 2019)]. Components of turnover time, including cleaning, instrument and room set-up, robot preparation, flow disruptions, and major delays, were documented and analyzed. Surveys and focus groups were used to investigate staff perceptions of robotic surgery turnover time. A multidisciplinary team of human factors experts and physicians developed targeted interventions. Pre- and post-intervention turnovers were compared. RESULTS: Median turnover time was 67 min (mean: 72, SD: 24) and 22 major delays were noted (1.1/case). The largest contributors were instrument setup (25.5 min) and cleaning (25 min). Interventions included an electronic dashboard for turnover time reporting, clear designation of roles and simultaneous completion of tasks, process standardization of operating room cleaning, and data transparency through monthly reporting. Post-intervention turnovers were significantly shorter (U = 57.5, p = .000) and ten major delays were noted. CONCLUSIONS: Human factors analysis generated interventions to improve turnover time. Significant improvements were seen post-intervention with a reduction in turnover time by a 26 min and decrease in major delays by over 50%. Future opportunities to intervene and further improve turnover time include targeting pre- and post-operative care phases.

Morbidity, mortality, and systems safety in non-operating room anaesthesia: a narrative review.

Non-operating room anaesthesia (NORA) describes anaesthesia delivered outside a traditional operating room (OR) setting. Non-operating room anaesthesia cases have increased significantly in the last 20 yr and are projected to account for half of all anaesthetics delivered in the next decade. In contrast to most other medication administration contexts, NORA is performed in high-volume fast-paced environments not optimised for anaesthesia care. These predisposing factors combined with increasing case volume, less provider experience, and higher-acuity patients increase the potential for preventable adverse events. Our narrative review examines morbidity and mortality in NORA settings compared with the OR and the systems factors impacting safety in NORA. A review of the literature from January 1, 1994 to March 5, 2021 was conducted using PubMed, CINAHL, Scopus, and ProQuest. After completing abstract screening and full-text review, 30 articles were selected for inclusion. These articles suggested higher rates of morbidity and mortality in NORA cases compared with OR cases. This included a higher proportion of death claims and complications attributable to inadequate oxygenation, and a higher likelihood that adverse events are preventable. Despite relatively few attempts to quantify safety concerns, it was possible to find a range of systems safety concerns repeated across multiple studies, including insufficient lighting, noise, cramped workspace, and restricted access to patients. Old and unfamiliar equipment, lack of team familiarity, and limited preoperative evaluation are also commonly noted challenges. Applying a systems view of safety, it is possible to suggest a range of methods to improve NORA safety and performance.

Prevention of Failure to Rescue in Obstetric Patients: A Realist Review.

BACKGROUND: At least 40% of maternal deaths are attributable to failure to rescue (FTR) events. Nurses are positioned to prevent FTR events, but there is minimal understanding of systems-level factors affecting obstetric nurses when patients require rescue. AIMS: To identify the nurse-specific contexts, mechanisms, and outcomes underlying obstetric FTR and the interventions designed to prevent these events. METHODS: A realist review was conducted to meet the aims. This review included literature from 1999 to 2020 to understand the systems-level factors affecting obstetric nurses during FTR events using a human factors framework designed by the Systems Engineering Initiative for Patient Safety. RESULTS: Existing interventions addressed the prevention of maternal death through education of clinicians, improved protocols for care and maternal transfer, and an emphasis on communication and teamwork. LINKING EVIDENCE TO ACTION: Few researchers addressed task overload or connected employee and organizational outcomes with patient outcomes, and the physical environment was minimally considered. Future research is needed to understand how systems-level factors affect nurses during FTR events.

Train-the-trainer: Pilot trial for ebola virus disease simulation training.

Background: Highly infectious but rare diseases require rapid dissemination of safety critical skills to health-care workers (HCWs). Simulation is an effective method of education; however, it requires competent instructors. We evaluated the efficacy of an internet-delivered train-the-trainer course to prepare HCWs to care for patients with Ebola virus disease (EVD). Methods: Twenty-four individuals without prior EVD training were recruited and divided into two groups. Group A included nine trainees taught by three experienced trainers with previous EVD training. Group B included 15 trainees taught by five novice trainers without previous EVD training who completed the train-the-trainer course. We compared the efficacy of the train-the-trainer course by examining subject performance, measured by time to complete 13 tasks and the proportion of steps per task flagged for critical errors and risky and positive actions. Trainees' confidence in their ability to safely care for EVD patients was compared with a self-reported survey after training. Results: Overall trainees' confidence in ability to safely care for EVD patients did not differ by group. Participants trained by the novice trainers were statistically significantly faster at waste bagging (P = 0.002), lab specimen bagging (P = 0.004), spill clean-up (P = 0.01), and the body bagging (P = 0.008) scenarios compared to those trained by experienced trainers. There were no significant differences in the completion time in the remaining nine training tasks. Participants trained by novice and experienced trainers did not differ significantly with regard to the proportion of steps in a task flagged for critical errors, risky actions, or positive actions with the exception of the task "Man Down in Gown" (12.5% of steps graded by experienced trainers compared to 0 graded by novice trainers, P = 0.007). Discussion: The online train-the-trainer EVD course is effective at teaching novices to train HCWs in protective measures and can be accomplished swiftly.

Nurses' perceptions of high-alert medication administration safety: A qualitative descriptive study.

AIMS: The aim of this study was to determine nurses' perceptions of supports and barriers to high-alert medication (HAM) administration safety. DESIGN: A qualitative descriptive design was used. METHODS: Eighteen acute care nurses were interviewed about HAM administration practices. Registered nurses (RNs) working with acutely ill adults in two hospitals participated in one-on-one interviews from July-September, 2017. Content analysis was conducted for data analysis. RESULTS: Three themes contributed to HAM administration safety: Organizational Culture of Safety, Collaboration, and RN Competence and Engagement. Error factors included distractions, workload and acuity. Work arounds bypassing bar code scanning and independent double check procedures were common. Findings highlighted the importance of intra- and interprofessional collaboration, nurse engagement and incorporating the patient in HAM safety. CONCLUSIONS: Current HAM safety strategies are not consistently used. An organizational culture that supports collaboration, education on safe HAM practices, pragmatic HAM policies and enhanced technology are recommended to prevent HAM errors. IMPACT: Hospitals incorporating these findings could reduce HAM errors. Research on nurse engagement, intra- and interprofessional collaboration and inclusion of patients in HAM safety strategies is needed.

A Qualitative Study of Systems-Level Factors That Affect Rural Obstetric Nurses' Work During Clinical Emergencies.

BACKGROUND: Maternal morbidity and mortality is rising in the United States. Previous studies focus on patient attributes, and most of the national data are based on research performed at urban tertiary care centers. Although it is well understood that nurses affect patient outcomes, there is scant evidence to understand the nurse work system, and no studies have specifically studied rural nurses. The authors sought to understand the systems-level factors affecting rural obstetric nurses when their patients experience clinical deterioration. METHODS: The research team used a qualitative descriptive approach, including a modified critical incident technique, in interviews with bedside nurses (n = 7) and physicians (n = 4) to understand what happens when patients experience clinical deterioration. Physicians were included to better understand the systems in which nurses work. Clinicians were interviewed at three rural hospitals in New England, with a mean births per year of 190. FINDINGS: Six systems-level factors/themes were identified: (1) shortages of resources; (2) need for teamwork; (3) physicians' multiple conflicting and simultaneous responsibilities, such as seeing patients in the office while women labor on the hospital floor; (4) need for all team members to be at the top of their game; (5) process issues during high-acuity patient transfer, including difficulty finding available beds at tertiary care centers; and (6) insufficient policies that take low-resource contexts into account, such as requiring two registered nurses to remove emergency medications from the medication cabinet. CONCLUSION: Rural nurses need policies and protocols that are written with their hospital context in mind. Hospitals may need outside support for content expertise, but policies should be co-created with clinicians with rural practice experience.

Red Flag/Blue Flag visualization of a common CNN for text classification.

A shallow convolutional neural network (CNN), TextCNN, has become nearly ubiquitous for classification among clinical and medical text. This research presents a novel eXplainable-AI (X-AI) software, Red Flag/Blue Flag (RFBF), designed for binary classification with TextCNN. RFBF visualizes each convolutional filter's discriminative capability. This is a more informative approach than direct assessment of logit contribution, features that overfit to train set nuances on smaller datasets may indiscriminately activate large logits on validation samples from both classes. RFBF enables model diagnosis, term feature verification, and overfit prevention. We present 3 use cases of (1) filter consistency assessment; (2) predictive performance improvement; and (3) estimation of information leakage between train and holdout sets. The use cases derive from experiments on TextCNN for binary prediction of surgical misadventure outcomes from physician-authored operative notes. Due to TextCNN's prevalence, this X-AI can benefit clinical text research, and hence improve patient outcomes.

Systems-Level Factors Affecting Registered Nurses During Care of Women in Labor Experiencing Clinical Deterioration.

BACKGROUND: Maternal morbidity and mortality are at their highest recorded levels in the United States, with more than 50% of maternal deaths deemed preventable. Women in labor often experience gradual morbidity, but signs of worsening condition may not be noticed by clinicians. Nurses are well-positioned to notice these signs, but performance obstacles inhibit nurses' work. There is scant literature describing the obstetric work system. This study sought to identify the systems-level factors affecting registered nurses during care of women in labor experiencing clinical deterioration. METHODS: A convergent parallel mixed methods design combining survey data from the adapted Performance Obstacles for ICU Nurses instrument and semistructured interviews with registered nurses, certified nurse midwives, and physicians was used. Data were collected on the labor and delivery floor of a tertiary care center in Boston from July 2021 through August 2021. Interviews were coded using Bradley's integrated deductive and inductive methods and the Systems Engineering Initiative for Patient Safety (SEIPS) categories. RESULTS: Data included 46 surveys and 16 interviews. Identified performance obstacles were in the categories of tasks, tools and technology, and physical environment. Emergent themes included swamped, feeling inadequate, and is this safe? CONCLUSION: Issues with task overload, tools, and technology inhibit nurses' abilities to respond appropriately to women in labor who experience clinical deterioration. Emergent themes imply a relationship between task overload and burnout. Health care administrators should improve staffing, decrease nurse task load, and include bedside nurses in the redesign of tools and technology to mitigate the harms of performance obstacles.

A pragmatic implementation research study for In Our DNA SC: a protocol to identify multi-level factors that support the implementation of a population-wide genomic screening initiative in diverse populations.

BACKGROUND: In 2021, the Medical University of South Carolina (MUSC) partnered with Helix, a population genetic testing company, to offer population-wide genomic screening for Centers for Disease Control and Preventions' Tier 1 conditions of hereditary breast and ovarian cancer, Lynch syndrome, and familial hypercholesterolemia to 100,000 individuals in South Carolina. We developed an implementation science protocol to study the multi-level factors that influence the successful implementation of the In Our DNA SC initiative. METHODS: We will use a convergent parallel mixed-methods study design to evaluate the implementation of planned strategies and associated outcomes for In Our DNA SC. Aims focus on monitoring participation to ensure engagement of diverse populations, assessing contextual factors that influence implementation in community and clinical settings, describing the implementation team's facilitators and barriers, and tracking program adaptations. We report details about each data collection tool and analyses planned, including surveys, interview guides, and tracking logs to capture and code work group meetings, adaptations, and technical assistance needs. DISCUSSION: The goal of In Our DNA SC is to provide population-level screening for actionable genetic conditions and to foster ongoing translational research. The use of implementation science can help better understand how to support the success of In Our DNA SC, identify barriers and facilitators to program implementation, and can ensure the sustainability of population-level genetic testing. The model-based components of our implementation science protocol can support the identification of best practices to streamline the expansion of similar population genomics programs at other institutions.

Lessons Learned from the Pilot Phase of a Population-Wide Genomic Screening Program: Building the Base to Reach a Diverse Cohort of 100,000 Participants.

Background and Objectives: Genomic information is increasingly relevant for disease prevention and risk management at the individual and population levels. Screening healthy adults for Tier 1 conditions of hereditary breast and ovarian cancer, Lynch syndrome, and familial hypercholesterolemia using a population-based approach can help identify the 1−2% of the US population at increased risk of developing diseases associated with these conditions and tailor prevention strategies. Our objective is to report findings from an implementation science study that evaluates multi-level facilitators and barriers to implementation of the In Our DNA SC population-wide genomic screening initiative. Methods: We established an IMPACTeam (IMPlementAtion sCience for In Our DNA SC Team) to evaluate the pilot phase using principles of implementation science. We used a parallel convergent mixed methods approach to assess the Reach, Implementation, and Effectiveness outcomes from the RE-AIM implementation science framework during the pilot phase of In Our DNA SC. Quantitative assessment included the examination of frequencies and response rates across demographic categories using chi-square tests. Qualitative data were audio-recorded and transcribed, with codes developed by the study team based on the semi-structured interview guide. Results: The pilot phase (8 November 2021, to 7 March 2022) included recruitment from ten clinics throughout South Carolina. Reach indicators included enrollment rate and representativeness. A total of 23,269 potential participants were contacted via Epic's MyChart patient portal with 1976 (8.49%) enrolled. Black individuals were the least likely to view the program invitation (28.9%) and take study-related action. As a result, there were significantly higher enrollment rates among White (10.5%) participants than Asian (8.71%) and Black (3.46%) individuals (p < 0.0001). Common concerns limiting reach and participation included privacy and security of results and the impact participation would have on health or life insurance. Facilitators included family or personal history of a Tier 1 condition, prior involvement in genetic testing, self-interest, and altruism. Assessment of implementation (i.e., adherence to protocols/fidelity to protocols) included sample collection rate (n = 1104, 55.9%) and proportion of samples needing recollection (n = 19, 1.7%). There were no significant differences in sample collection based on demographic characteristics. Implementation facilitators included efficient collection processes and enthusiastic clinical staff. Finally, we assessed the effectiveness of the program, finding low dropout rates (n = 7, 0.35%), the identification of eight individuals with Tier 1 conditions (0.72% positive), and high rates of follow-up genetic counseling (87.5% completion). Conclusion: Overall, Asian and Black individuals were less engaged, with few taking any study-related actions. Strategies to identify barriers and promoters for the engagement of diverse populations are needed to support participation. Once enrolled, individuals had high rates of completing the study and follow-up engagement with genetic counselors. Findings from the pilot phase of In Our DNA SC offer opportunities for improvement as we expand the program and can provide guidance to organizations seeking to begin efforts to integrate population-wide genomic screening.

'Strangers in a strange land': Understanding professional challenges for human factors/ergonomics and healthcare.

Human Factors and ergonomics (HFE) expertise continues to have difficulty integrating its experts into healthcare. This persistent disconnect is compounded by unique aspects of healthcare as an institution, industry and work system. Clinically-embedded HFE practitioners, a new HFE sub-specialty, are a conduit for addressing substantive mismatches between the two domains. Greater HFE penetration will require a fundamental change in stance for both domains, however, the burden will lie with HFE to be the more adaptive of the two. Learning more about the in situ work of this sub-specialty will provide insights for more nuanced approaches to bridging domain specific mismatches and obstacles.

Impact of flow disruptions in the delivery room.

AIM: Flow disruptions (FDs) are deviations from the progression of care that compromise safety and efficiency of a specific process. The study aim was to identify the impact of FDs during neonatal resuscitation and determine their association with key process and outcome measures. METHODS: Prospective observational study of video recorded delivery room resuscitations of neonates <32 weeks gestational age. FDs were classified using an adaptation of Wiegmann's FD tool. The primary outcome was target oxygenation saturation achievement at 5 min. Secondary outcomes included achieving target saturation at 10 min, time to positive pressure ventilation for initially apnoeic/bradycardic neonates, time to electrocardiogram signal, time to pulse oximetry signal, and time to stable airway. Multivariable logistic regression assessed association between FDs and achieving target saturations adjusting for gestational age and leader. Associations between FDs and time to event outcomes were assessed using Cox proportional hazards models. RESULTS: Between 10/2017-7/2018, 32 videos were included. A mean of 52.6 FDs (standard deviation 17.9) occurred per resuscitation. Extraneous FDs were the most common FDs. FDs were associated with an adjusted odds ratio of 0.92 (95% confidence interval [CI] 0.80-1.05) of achieving target saturation at 5 min and 0.94 (95% CI 0.84-1.05) at 10 min. There was no significant evidence to show FDs were associated with time to event outcomes. CONCLUSIONS: FDs occurred frequently during neonatal resuscitation. Measuring FDs is a feasible method to assess the impact of human factors in the delivery room and identify modifiable factors and practices to improve patient care.

The role of human factors in neonatal patient safety.

The relationship between the fields of human factors and patient safety is relatively nascent but represents a powerful interaction that has developed in only the last twenty years. Application of human factors principles, techniques, and science can facilitate the development of healthcare systems, protocols, and technology that leverage the enormous and adaptable capacity of human performance while acknowledging human vulnerability and decreasing the risk of error during patient care. This chapter will review these concepts and employ case studies from neonatal care to demonstrate how an understanding of human factors can be applied to improve patient safety.

Using a systems approach to evaluate a circulating nurse's work patterns and workflow disruptions.

The physical environment affects how work is done in operating rooms (OR). The circulating nurse (CN), in particular, requires access to and interacts with materials, equipment, and technology more than other OR team members. Naturalistic study of CN behavior is therefore valuable in assessing how OR space and physical configuration influences work patterns and disruptions. This study evaluated the CNs' work patterns and flow disruptions (FD) by analyzing 25 surgeries across three different ORs. The OR layouts were divided into transitional and functional zones, and the work of CNs was categorized into patient, equipment, material, and information tasks. The results reveal that information tasks involve less movement than other types of work, while across all ORs, CNs were more likely to be involved in layout and environmental hazard FDs when involved in patient, material, or equipment-related tasks compared to information tasks. Different CN work patterns and flow disruptions between ORs suggest a link between OR layout and a CN's work. Future studies should examine how specific layout elements influence outcomes.

A Study of VITOM in Pediatric Surgery and Urology: Evaluation of Technology Acceptance and Usability by Operating Team and Surgeon Musculoskeletal Discomfort.

INTRODUCTION: We studied operating team acceptability of Video Telescopic Monitor (VITOM®) exoscope by exploring the ease of use of the device in two centers. We also assessed factors affecting surgeon musculoskeletal discomfort. METHODS: We focused on how the operating team interacted with the VITOM system with surrogate measures of usefulness, image quality, ease of use, workload, and setup time. Multivariable linear regression was used to model the relationships between team role, experience, and setup time. Relationships between localized musculoskeletal discomfort and use of VITOM alone, and with loupes, were also analyzed. RESULTS: Four surgeons, 7 surgical techs, 7 circulating nurses, and 13 surgical residents performed 70 pediatric surgical and urological operations. We found that subjective views of each team member were consistently positive with 69%-74% agreed or strongly agreed that VITOM enhanced their ability to perform their job and improved the surgical process. Unexpectedly, the scrub techs and nurses perceived more value and utility of VITOM, presumably because it provides them a view of the operative field that would otherwise be unavailable to them. Team members rated perceptions of image quality highly and workload generally satisfactory. Not surprisingly, setup time decreased with team experience and multivariable modeling showed significant correlations with surgeon and surgical tech experience, but not circulating nurse. An important finding was that surgeon neck discomfort was reduced with use of VITOM alone for magnification, compared with use of loupes and VITOM. The most likely explanation for these findings is improved posture with the neck at a neutral position when viewing the VITOM images, compared with neck flexion with loupes, and thus, a less favorable ergonomic position. CONCLUSION: This study suggests that there may be small drawbacks associated with VITOM use initially, but these reduce with increased experience and benefit both the surgeon and the rest of the team.